BoinJou: Difference between revisions
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= Methods = | = Methods = | ||
== EM algorithm == | === EM algorithm === | ||
== Localization: Clustering == | === Localization: Clustering === | ||
== Classification == | === Classification === | ||
= Results = | = Results = | ||
== Localization: Clustering == | === Localization: Clustering === | ||
Some text. Some analysis. Some figures. | Some text. Some analysis. Some figures. | ||
== Classification == | === Classification === | ||
Some text. Some analysis. Some figures. | Some text. Some analysis. Some figures. | ||
Revision as of 03:03, 20 March 2013
Back to Psych 221 Projects 2013
Introduction
Below is another example of a reinotopic map in a different subject.
Figure 2
Once you upload the images, they look like this. Note that you can control many features of the images, like whether to show a thumbnail, and the display resolution.

Motivation
Methods
EM algorithm
Localization: Clustering
Classification
Results
Localization: Clustering
Some text. Some analysis. Some figures.
Classification
Some text. Some analysis. Some figures.
Equations
If you want to use equations, you can use the same formats that are use on wikipedia.
See wikimedia help on formulas for help.
This example of equation use is copied and pasted from wikipedia's article on the DFT.
The sequence of N complex numbers x0, ..., xN−1 is transformed into the sequence of N complex numbers X0, ..., XN−1 by the DFT according to the formula:
where i is the imaginary unit and is a primitive N'th root of unity. (This expression can also be written in terms of a DFT matrix; when scaled appropriately it becomes a unitary matrix and the Xk can thus be viewed as coefficients of x in an orthonormal basis.)
The transform is sometimes denoted by the symbol , as in or or .
The inverse discrete Fourier transform (IDFT) is given by
Conclusions
References
References
Software
